Analytics Vidhya

DECEMBER 29, 2019

Introduction The stock of a data scientist is at an all-time high right now. There aren’t too many professions out there that can rival. The post 5 Key Reasons Why Data Scientists Are Quitting their Jobs appeared first on Analytics Vidhya.

Data Scientist 388

Data Scientist Analytics Analytics Data Science 388

KDnuggets

JANUARY 2, 2020

Time series forecasting is a technique for the prediction of events through a sequence of time. In this post, we will be taking a small forecasting problem and try to solve it till the end learning time series forecasting alongside.

Python 355

Python 355

Dataconomy

DECEMBER 31, 2019

A data management plan in a company is not something that can be implemented in isolation by one department or a team in your organisation, it is rather a collective effort – similar to how different players perform in a basketball court. From the smallest schoolyard to the biggest pro. The post Lessons from the Basketball Court for Data Management appeared first on Dataconomy.

Big Data 178

Big Data Big Data Analytics Analytics 178

Data Science 101

DECEMBER 30, 2019

A bit of a slow news week in the tech world, but that is expected. The full news with all the links is available at Cloud Data Science News – Beta 8. Happy New Year!

Cloud Data 80

Cloud Data Data Science 80

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

Analytics Vidhya

JANUARY 1, 2020

Introduction I love the sci-fi movie genre. Futuristic scenarios, jaw-dropping visuals, a tight storyline knitting it all together – that’s a recipe for a. The post 10 Under-the-Radar Movies that Show the Power of Machine Learning appeared first on Analytics Vidhya.

Machine Learning 247

Machine Learning Machine Learning Analytics Analytics 247

KDnuggets

DECEMBER 31, 2019

With so many buzzwords surrounding AI and machine learning, understanding which can bring business value and which are best left in the lab to mature is difficult. While machine learning offers significant power in driving digital transformations, a business must start with the right questions and leave the math to the development teams.

Data Science 336

Data Science Machine Learning Machine Learning AI 336

Data Science 101

JANUARY 3, 2020

Happy New Year. 2020 is here. A new decade! Unfortunately, it did not bring a flurry of data science announcements. I did create my list of 3 predictions for 2020, so those will be coming out soon. News. No significant news to report. Hopefully some releases and announcements will be coming next week. Videos. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego.

Data Science 78

Data Science Cloud Data AWS Machine Learning 78

Shreyansh Singh

DECEMBER 29, 2019

The hxp CTF happens every year along with the Chaos Communication Congress (a top security conference). This year was the 36th edition. This CTF is a major CTF, you know this when the CTF has a rating weight of 63.0 on CTFTime. Also, it is one of the qualifier events of DEFCON 2020 CTF. I was playing solo on this one and gave one day to this CTF. I managed to solve 2 problems in the main CTF and 2 in the Junior CTF.

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KDnuggets

JANUARY 3, 2020

Why do most data scientists love Python? Learn more about how so many well-developed Python packages can help you accomplish your crucial data science tasks.

Data Science 354

Data Science Python Data Scientist 354

Explosion

DECEMBER 28, 2019

As 2019 draws to a close and we step into the 2020s, we thought we’d take a look back at the year and all we’ve accomplished. And we realized we had so much that we could give you a month-by-month rundown of everything that happened.

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

DataRobot

DECEMBER 31, 2019

This blog provides a unique take on using machine learning to predict the college football bowl games. With the NCAA college football post-season in full swing, many die-hard fans are either preparing to root for their alma mater or have already vested their energy towards cheering for them. With many big games still on the table (e.g., Alabama vs. Michigan, Georgia vs.

Machine Learning 17

Machine Learning Machine Learning AI AI 17

KDnuggets

JANUARY 2, 2020

In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.

Machine Learning 260

Machine Learning Machine Learning Azure Data Scientist 260

KDnuggets

DECEMBER 30, 2019

For those of you in a hurry and interested in ultralearning (which should be all of you), this recap reviews the approach and summarizes its key elements -- focus, optimization, and deep understanding with experimentation -- geared toward learning Data Science.

Data Science 229

Data Science 229

KDnuggets

JANUARY 3, 2020

This post presents a pipeline of building a KNN model in R with various measurement metrics.

K-nearest Neighbors 311

K-nearest Neighbors 311

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

KDnuggets

JANUARY 2, 2020

Delivering accurate insights is the core function of any data scientist. Navigating the development road toward this goal can sometimes be tricky, especially when cross-collaboration is required, and these lessons learned from building a search application will help you negotiate the demands between accuracy and speed.

Data Scientist 204

Data Scientist 204

KDnuggets

DECEMBER 31, 2019

A Gentle Introduction to #Math Behind #NeuralNetworks; Learn How to Quickly Create UIs in Python; I wanna be a data scientist, but. how!?; I created my own deepfake in two weeks.

Data Scientist 163

Data Scientist Python 163

KDnuggets

DECEMBER 31, 2019

AI scientist Francois Chollet proposes a better framework for measuring the intelligence of AI systems.

AI 194

AI AI 194

KDnuggets

DECEMBER 30, 2019

AI scientist Francois Chollet proposes a better framework for measuring the intelligence of AI systems.

AI 177

AI AI 177

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

KDnuggets

JANUARY 3, 2020

The gender gap can extend to the lack of equal representation in certain industries or career paths, and there's an extraordinarily long way to go before people will be on equal footing in the labor market. Human resources professionals can rely on data analytics to make progress.

Analytics 124

Analytics Analytics Data Science 124

KDnuggets

DECEMBER 30, 2019

Also: Let’s Build an Intelligent Chatbot; 10 Best and Free Machine Learning Courses, Online; Build Pipelines with Pandas Using pdpipe; Alternative Cloud Hosted Data Science Environments.

Data Scientist 123

Data Scientist Machine Learning Machine Learning Data Science 123

Explosion

DECEMBER 28, 2019

As 2019 draws to a close and we step into the 2020s, we thought we’d take a look back at the year and all we’ve accomplished. And we realized we had so much that we could give you a month-by-month rundown of everything that happened. We’re also very happy to see our team grow this year, with four new members working under the Explosion umbrella: Sofie Van Landeghem , Adriane Boyd, Walter Henry and Sebastián Ramírez.

Machine Learning 52

Machine Learning Machine Learning Python Natural Language Processing 52

DataRobot

JANUARY 3, 2020

AI 11

AI AI 11

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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